AI-Driven Full-Stack Engineer

Freedom Mortgage

United States

On-site

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Freedom Mortgage is seeking a Full-Stack AI Software Engineer to design, build, deploy, and secure enterprise software and AI-enabled applications. The role emphasizes tangible business outcomes, rapid prototyping with user feedback, and maintaining up to three applications end-to-end.

You will fuse traditional software engineering with AI-driven tooling and large-language models, focusing on secure, scalable, and observable systems.

Qualifications

  • Five or more years of professional software-engineering experience across the design, development, testing, deployment, and support of production applications.
  • At least two to three years of professional experience in engineering software using modern AI-assisted engineering tools and AI development practices.
  • Demonstrated ability to build and support full-stack applications from concept through production.
  • Strong proficiency in at least one modern backend language, such as Python, Java, C#, Go, or TypeScript/Node.js.
  • Strong proficiency with modern frontend development using JavaScript or TypeScript and a framework such as React, Angular, or Vue.
  • Experience designing and consuming RESTful APIs, event-driven services, microservices, and enterprise integrations.
  • Experience with relational databases, SQL, data modeling, and at least one modern nonrelational or vector-database technology.
  • Practical experience integrating large language models or generative-AI services into production or enterprise applications.
  • Experience with AI coding tools such as Cursor, Claude Code, GitHub Copilot, OpenAI Codex, or comparable platforms.
  • Experience with Git-based source control, automated testing, code review, continuous integration, continuous delivery, and modern DevOps practices.
  • Experience deploying and operating applications in a major cloud environment such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Working knowledge of containers, infrastructure as code, observability, application security, and vulnerability remediation.
  • Strong understanding of secure software-development principles, including authentication, authorization, encryption, secrets management, dependency management, and common application-security risks.
  • Demonstrated ability to work directly with business users, understand workflows, challenge assumptions constructively, and convert business problems into working software.

Responsibilities

  • Partner directly with business stakeholders to understand operating processes, identify root problems, define measurable outcomes, and engineer effective technical solutions.
  • Translate ambiguous business needs into clear functional requirements, technical designs, user stories, acceptance criteria, and production-ready software.
  • Work interactively with users through rapid prototyping, demonstrations, feedback sessions, and iterative releases.
  • Own software delivery from initial discovery and architecture through development, testing, deployment, production support, and continuous improvement.
  • Write clean, modular, testable, secure, and well-documented production code.
  • Develop and maintain unit, integration, API, user-interface, regression, performance, security, and end-to-end automated tests.
  • Build and maintain continuous integration and continuous delivery pipelines.
  • Release software through safe, incremental, observable, and reversible deployment practices.

Skills

Software engineering fundamentals
AI tooling
Language models
AI agents
Automation frameworks

Tools

Cursor
Claude Code
GitHub Copilot
OpenAI Codex

Job description

Freedom Mortgage is seeking a Full-Stack AI Software Engineer to design, build, deploy, and secure enterprise software and AI-enabled applications. The role emphasizes tangible business outcomes, rapid prototyping with user feedback, and maintaining up to three applications end-to-end.

You will fuse traditional software engineering with AI-driven tooling and large-language models, focusing on secure, scalable, and observable systems.

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